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Sinta Scraper

Retrieves information from Sinta (Science and Technology Index) via scraping.

Installation

pip install sinta-scraper

Dependencies (installed automatically using the above command): beautifulsoup4, requests, dicttoxml, dict2xml, python-string-utils, and flatdict.

Importing

import sinta

Available Functions

Function Details

  • author()

Retrieves an author's information by Sinta ID. For example:

author_id = 6082456
author = sinta.author(author_id)

print(author)

The output format is the Python dictionary. The structure is given in the following sample output.

{'affiliation': {'id': 404,
                 'name': 'Universitas Brawijaya',
                 'url': 'https://sinta.kemdikbud.go.id/affiliations/profile/404'},
 'articles': {'scholar': 103, 'scopus': 14, 'wos': 0},
 'citations': {'scholar': 266, 'scopus': 52, 'wos': 0},
 'cited_docs': {'scholar': 0, 'scopus': 9, 'wos': 0},
 'department': 'S1 - Teknik Informatika',
 'g-index': {'scholar': 1, 'scopus': 1, 'wos': ''},
 'h-index': {'scholar': 9, 'scopus': 4, 'wos': ''},
 'i10-index': {'scholar': 9, 'scopus': 1, 'wos': ''},
 'id': 6082456,
 'name': 'RANDY CAHYA WIHANDIKA',
 'score': {'3_years': 122,
           'affiliation': 0,
           'affiliation_3_years': 0,
           'overall': 451},
 'subjects': ['Image Processing', 'Computer Vision'],
 'url': 'https://sinta.kemdikbud.go.id/authors/profile/6082456'}

Multiple authors can also be retrieved at once:

author_ids = 5975467, 6019743
authors = sinta.author(author_ids)
  • affiliation()

Retrieves information about an affiliation. For example:

affiliation_id = 404
affiliation_info = sinta.affiliation(affiliation_id)

Output:

{'abbreviation': 'UB',
 'articles': {'garuda': 8783, 'scholar': 100142, 'scopus': 9181, 'wos': 1260},
 'authors': 2330,
 'citation_per_researcher': {'garuda': 0.46,
                             'scholar': 462.17,
                             'scopus': 49.15,
                             'wos': 7.96},
 'citations': {'garuda': 428, 'scholar': 431668, 'scopus': 45910, 'wos': 7432},
 'cited_documents': {'garuda': 265,
                     'scholar': 44142,
                     'scopus': 5622,
                     'wos': 778},
 'code': '001019',
 'departments': 177,
 'id': 404,
 'journals': 67,
 'last_update': '2022-06-15 09:00:53',
 'location': 'KOTA MALANG - JAWA TIMUR, ID',
 'name': 'Universitas Brawijaya',
 'sinta_score': {'3_years': 220241,
                 'overall': 568684,
                 'productivity': 277,
                 'productivity_3_years': 107},
 'url': 'https://sinta.kemdikbud.go.id/affiliations/profile/404'}

Other Output Formats

Other formats can be used by specifying the output_format argument. For example:

author = sinta.author(id, output_format='json')

Avalable output formats:

  • 'dict' (default)
  • 'dict-flat'
  • 'json'
  • 'json-pretty'
  • 'xml'
  • 'xml-flat'

You can also pretty-print a dictionary using pprint:

from pprint import pprint

pprint(result_dict)

Metadata

Release files for sinta-scraper 2.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sinta-scraper 2.2.1
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Table of built distributions (wheels) for sinta-scraper 2.2.1
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sinta_scraper-2.2.1-py3-none-any.whl Python 3 none any Details

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Release files / sinta-scraper-2.2.1.tar.gz

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